Effect of lipid composition on incorporation of trastuzumab-PEG-lipid into nanoliposomes by post-insertion method: physicochemical and cellular characterization

Context: Anti-HER2 immunoliposomes are promising nanotechnology based systems for active targeting of breast tumors, which depends on the amount of incorporated antibody.

Objective/Aim: In this work, we investigated the possible effect of lipid composition on the incorporation of trastuzumab-PEG-PE micelles into nanoliposomes and on their subsequent specific cellular targeting.

Materials and methods: Trastuzumab (anti-HER2 monoclonal antibody) was monothiolated and conjugated to maleimide-PEG-PE micelles. Liposomes of different lipid compositions were prepared by the thin layer hydration. Trastuzumab-PEG-PE micelles were incorporated into the liposomes by the post-insertion method. The percentage of lipid mixing was determined based on fluorescence resonance energy transfer. Cellular binding and uptake of rhodamine-labeled immunoliposomes were studied in SKBR-3 (HER2⁺⁺⁺) and MCF-7 (HER2⁺) cells. Also, antitumor cell activity of the immunoliposomes was compared to free trastuzumab and the liposomes.

Results: The lipid mixing of trastuzumab-PEG-PE micelles depended on the liposome composition. The immunoliposomes containing DPPC, cholesterol and PEG-PE showed prominent lipid mixing. The lipid mixing was consistent with the cell binding results which showed an efficient and specific binding of the immunoliposomes to SKBR-3 cells. Antitumor cell activity of the immunoliposomes in SKBR-3, unlike MCF-7 cells, depended on the content of trastuzumab.

Discussion: Cholesterol and PEG-PE in the liposome composition are prerequisites for a successful lipid mixing due to their ability to facilitate fusion. The higher lipid mixing results in higher antibody incorporation and consequently higher targeted cell binding.

Conclusions: The lipid mixing depends on the liposome composition, which reflects targeted cell binding of the immunoliposomes.     

Social learning of fear and safety is determined by the demonstrator's racial group

Social learning offers an efficient route through which humans and other animals learn about potential dangers in the environment. Such learning inherently relies on the transmission of social information and should imply selectivity in what to learn from whom. Here, we conducted two observational learning experiments to assess how humans learn about danger and safety from members (‘demonstrators'') of an other social group than their own. We show that both fear and safety learning from a racial in-group demonstrator was more potent than learning from a racial out-group demonstrator.     

Distinct Contributions of the Dorsolateral Prefrontal and Orbitofrontal Cortex during Emotion Regulation

The lateral prefrontal and orbitofrontal cortices have both been implicated in emotion regulation, but their distinct roles in regulation of negative emotion remain poorly understood. To address this issue we enrolled 58 participants in an fMRI study in which participants were instructed to reappraise both negative and neutral stimuli. This design allowed us to separately study activations reflecting cognitive processes associated with reappraisal in general and activations specifically related to reappraisal of negative emotion. Our results confirmed that both the dorsolateral prefrontal cortex (DLPFC) and the lateral orbitofrontal cortex (OFC) contribute to emotion regulation through reappraisal. However, activity in the DLPFC was related to reappraisal independently of whether negative or neutral stimuli were reappraised, whereas the lateral OFC was uniquely related to reappraisal of negative stimuli. We suggest that relative to the lateral OFC, the DLPFC serves a more general role in emotion regulation, perhaps by reflecting the cognitive demand that is inherent to the regulation task.     

Cloning,Expression, and Assessment of Cytotoxic Effects of A-NGR Fusion Protein

Targeted drug delivery is an attractive field in cancer studies. In this study, a novel fusion protein consisting of Shiga toxin A subunit and NGR peptide has been constructed. The cytotoxic Shiga toxin A subunit has the ability to kill cancer cells while NGR is a well-known peptide that targets the whole molecule to cancer cells. Two forms of this novel fusion protein, one without linker (A-NGR) and one with linker (A-GGGGS-NGR) were studied. 3D structure prediction of the two forms carried out by I-TASSER and their validation and analysis were performed by ProSA web and RAMPAGE. Results showed that A-NGR is a better model than the one with linker. A-NGR was constructed by PCR method and cloned in pBAD/gIII A vector. Then, it was successfully expressed in Escherichia coli by induction with arabinose and subsequently purified by affinity chromatography under denaturing condition. Ultimately, the cytotoxic effect of the purified protein was evaluated on U937 cancer cells and MRC-5 normal cells by MTT assay. Conclusively, the fusion protein was successfully cloned and expressed and evaluated for its cytotoxic effects. The IC50 value of A-NGR fusion protein for U937 cell was about 26.86 µg/ml while no cytotoxic effect was observed on MRC-5 cells. Therefore, considering the promising cytotoxic effects of the fusion protein, further in vitro evaluations of this fusion protein on different cell lines are underway.     

Development of a novel engineered antibody targeting human CD123

Antibody engineering involves a range of custom modifications of immunoglobulins to improve their affinity, valency, and pharmacokinetics, ensuring a better target therapy achievement. A number of therapeutic antibodies have been used for cell surface receptor blockage, interfering with the ligand binding and inhibiting receptor-driven activation of cells. Here we describe the construction and characterization of a recombinant bivalent single-chain Fv (biscFv) that targets CD123. On conversion of anti-CD123 scFv to biscFv format, the recognition of the cognate ligand is not altered. Moreover, the increased overall efficacy of the anti-CD123 biscFv in binding and inhibition of CD123/IL-3 (interleukin-3) interactions in TF-1 cells is demonstrated.     

Phytochemicals,Essential Oils Composition and Antioxidant Activity of Astragalus spp., Phlomis olivieri and Daphne mucronata in Habitats of Central Iran

This study evaluated several secondary metabolites, essential oils (EOs) compositions, and antioxidant activity in four medicinal plants that originated in Isfahan rangelands. The species were Astragalus verus, Astragalus adscendens, Daphne mucronata, and Phlomis olivieri. Thirty-two genotypes of these species were evaluated for different biochemical traits. Based on the evaluation of EOs compounds, GC/MS analysis revealed the total number of identified compounds. These compounds were 25, 22, 12, and 22 for A. adscendens, A. verus, D. mucronata, and P. olivieri, respectively. The dominant compounds were phthalate (59.88 %) in A. adscendens, phytol (38.02 %) in A. verus, hexanoic acid (32.05 %) in D. mucronata and β-cubebene (30.94 %) in P. olivieri. Phytochemical analysis showed that D. mucronata, A. adscendens, and P. olivieri had the highest total phenolics content (TPC) (18.24 mg gallic acid equivalent/g dry weight), total flavonoids content (5.57 mg QE/g DW), and total anthocyanins content (0.23 mg/g DW), respectively. The highest total chlorophyll (0.27 mg/g DW), total carotenoids (0.03 mg/g DW), and antioxidant activity (71.36 %) were observed in A. adscendens, A. adscendens and A. verus, respectively. Among all genotypes, the highest TPC (20.1 mg GAE/g DW) was observed in genotype 5 of D. mucronata. This study provided new information on the chemical compounds within the distribution range of these ecologically dominant rangeland species in Isfahan province, Iran. The data revealed that superior genotypes from these species are rich in natural antioxidants and bioactive compounds. Thus, they can be used in ethno pharmacological fields, food, and industrial applications.     

Production Enhancement of Medicinally Active Coumarin and Phenolic Compounds in Hairy Root Cultures of Pelargonium sidoides: The Effect of Elicitation and Sucrose

Journal of Plant Growth Regulation - African geranium (Pelargonium sidoides DC., Geraniaceae) is a herbaceous perennial plant with well-known medicinal properties. In the present study, the effect...     

In Your Face: Risk of Punishment Enhances Cognitive Control and Error-Related Activity in the Corrugator Supercilii Muscle

Cognitive control is needed when mistakes have consequences, especially when such consequences are potentially harmful. However, little is known about how the aversive consequences of deficient control affect behavior. To address this issue, participants performed a two-choice response time task where error commissions were expected to be punished by electric shocks during certain blocks. By manipulating (1) the perceived punishment risk (no, low, high) associated with error commissions, and (2) response conflict (low, high), we showed that motivation to avoid punishment enhanced performance during high response conflict. As a novel index of the processes enabling successful cognitive control under threat, we explored electromyographic activity in the corrugator supercilii (cEMG) muscle of the upper face. The corrugator supercilii is partially controlled by the anterior midcingulate cortex (aMCC) which is sensitive to negative affect, pain and cognitive control. As hypothesized, the cEMG exhibited several key similarities with the core temporal and functional characteristics of the Error-Related Negativity (ERN) ERP component, the hallmark index of cognitive control elicited by performance errors, and which has been linked to the aMCC. The cEMG was amplified within 100 ms of error commissions (the same time-window as the ERN), particularly during the high punishment risk condition where errors would be most aversive. Furthermore, similar to the ERN, the magnitude of error cEMG predicted post-error response time slowing. Our results suggest that cEMG activity can serve as an index of avoidance motivated control, which is instrumental to adaptive cognitive control when consequences are potentially harmful.